KDnuggets

JUNE 6, 2025

As a Google Generation Scholar 2022 for APAC, she champions diversity and academic excellence. Kanwal Mehreen Kanwal is a machine learning engineer and a technical writer with a profound passion for data science and the intersection of AI with medicine. She co-authored the ebook "Maximizing Productivity with ChatGPT".

Python 166

Python Natural Language Processing Data Science Machine Learning 166

Smart Data Collective

OCTOBER 17, 2022

While we are at it, a few tools are leading in 2022. Keboola, for example, is a SaaS solution that covers the entire life cycle of a data pipeline from ETL to orchestration. Next is Stitch, a data pipeline solution that specializes in smoothing out the edges of the ETL processes thereby enhancing your existing systems.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Data Lakes 145

IBM Data Science in Practice

DECEMBER 7, 2022

IBM’s Next Generation DataStage is an ETL tool to build data pipelines and automate the effort in data cleansing, integration, and preparation. Data fabric has become a top technology trend in 2022 and, according to Gartner , will “quadruple efficiency in data utilization while cutting human-driven data management tasks in half” by 2024.

Data Quality 130

Data Quality Data Pipeline Data Preparation ETL 130

IBM Data Science in Practice

NOVEMBER 28, 2022

IBM’s Next Generation DataStage is an ETL tool to build data pipelines and automate the effort in data cleansing, integration and preparation. Data fabric has become a top technology trend in 2022 and, according to Gartner , will “quadruple efficiency in data utilization while cutting human-driven data management tasks in half” by 2024.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

phData

MAY 12, 2023

With this knowledge, you can start to get the most out of your Matillion ETL instance. What is Matillion ETL? Matillion ETL is an ETL (or, more specifically, ELT) tool made for cloud database platforms such as the Snowflake Data Cloud. Imagine that a component must be run every quarter of every year between 1980 and 2022.

ETL 52

ETL Database Azure 52

Applied Data Science

AUGUST 2, 2021

Big Ideas What to look out for in 2022 1. They build production-ready systems using best-practice containerisation technologies, ETL tools and APIs. Automation Automating data pipelines and models ➡️ 6. Deployment How to build sustainable, scalable live systems ? Proving Value How to calculate ROI and prioritise projects ?

Data Science 130

Data Science Data Scientist ML ML 130

ODSC - Open Data Science

JUNE 12, 2023

Microsoft announced the public preview availability of Datamarts in May 2022. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Data Science Dojo

JULY 3, 2024

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Bureau of Labor Statistics estimates the data science job outlook to be 35% between 2022–32, far above the average for all jobs of 2%.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Smart Data Collective

OCTOBER 17, 2022

Big data analytics from 2022 show a dramatic surge in information consumption. Older ETL technology, which might be code-heavy and slow down your process even more, isn’t helpful. What’s causing the data explosion? The trend began in 2020 , when individuals primarily stayed at home due to pandemic restrictions.

Big Data 119

Big Data Big Data Data Engineering Data Engineering 119

AWS Machine Learning Blog

JUNE 9, 2025

At the heart of our system is our custom extract, transform, and load ETL pipeline (Kip SSoT), which we’ve designed to feed data into QuickSight for AI-enabled analytics. Throughout her career, Sunanda has successfully managed diverse client relationships, ranging from non-profit to corporate and large multinational enterprises.

AI 88

AI AI AWS Business Intelligence 88

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Section 2: Explanation of the ETL diagram for the project. ETL ARCHITECTURE DIAGRAM ETL stands for Extract, Transform, Load. ETL ensures data quality and enables analysis and reporting.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Pickl AI

NOVEMBER 5, 2024

ODBC also supports cross-platform applications in Data Warehousing, Business Intelligence, and ETL (Extract, Transform, Load) processes, allowing seamless data manipulation from various sources. In 2022, the global ODBC market was valued at $1.2 The demand for standardised database connectivity through ODBC is growing.

Database 52

Database SQL Python Database Administration 52

phData

APRIL 18, 2023

Data movements lead to high costs of ETL and rising data management TCO. Data co-location enables teams to access, join, query, and analyze internal and external vendor data with minimal to no ETL. The inability to access and onboard new datasets prolong the data pipeline’s creation and time to market.

Data Silos 52

Data Silos ETL Clustering Analytics 52

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

phData

DECEMBER 14, 2023

Award-winning partner: phData was named Fivetran’s 2022 Partner of the Year. Is LDP a good ETL tool? LDP is capable of Extraction (E) and Loading (L) operations of the ETL stack and is excellent in those two areas. This allows them to provide a comprehensive solution for your data needs.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

The MLOps Blog

DECEMBER 7, 2022

2022 will be remembered as a defining year for the crypto ecosystem. Building data and ML pipelines: from the ground to the cloud It was the beginning of 2022, and things were looking bright after the lockdown’s end. And that’s when what usually happens, happened: We came for the ML models, we stayed for the ETLs.

ML 52

ML ML AWS ETL 52

Alation

APRIL 25, 2023

between 2022 and 2029. Image Source ) Data Storage Storing large amounts of valuable data securely requires a well-thought-out ETL (extract, transform, load) process. This is where a reverse ETL process is needed. Check Point Research reports that global cyberattacks increased by 28% during the third quarter of 2022.

Data Governance 52

Data Governance ETL Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

million in 2022, is projected to grow at a CAGR of 18.15% , reaching USD 140,808.0 Key components of data warehousing include: ETL Processes: ETL stands for Extract, Transform, Load. ETL is vital for ensuring data quality and integrity. The global Big Data and Data Engineering Services market, valued at USD 51,761.6

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

NOVEMBER 9, 2023

In 2022, the term data mesh has started to become increasingly popular among Snowflake and the broader industry. Data Processing: Snowflake can process large datasets and perform data transformations, making it suitable for ETL (Extract, Transform, Load) processes.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. You have to make sure that your ETLs are locked down. I’m a product manager at Arize.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. You have to make sure that your ETLs are locked down. I’m a product manager at Arize.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

JUNE 30, 2023

Jack Zhou, product manager at Arize , gave a lightning talk presentation entitled “How to Apply Machine Learning Observability to Your ML System” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. You have to make sure that your ETLs are locked down. I’m a product manager at Arize.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Precisely

FEBRUARY 22, 2023

Paige Bartley notes that 2022 has been a tipping point for cloud analytics, as half of enterprise executives indicate a preference for public cloud platforms and SaaS-based analytics tools. Connect supports a wide range of sources and targets for all your ETL and change data capture (CDC) needs. What are the implications of this trend?

Analytics 52

Analytics Analytics ETL Data Pipeline 52

Alation

APRIL 25, 2023

between 2022 and 2029. Image Source ) Data Storage Storing large amounts of valuable data securely requires a well-thought-out ETL (extract, transform, load) process. This is where a reverse ETL process is needed. Check Point Research reports that global cyberattacks increased by 28% during the third quarter of 2022.

Data Governance 40

Data Governance ETL Machine Learning Machine Learning 40

Pickl AI

DECEMBER 10, 2024

billion in 2022, it is projected to surge to USD 279.31 Automated Data Integration and ETL Tools The rise of no-code and low-code tools is transforming data integration and Extract, Transform, and Load (ETL) processes. The market’s rapid growth underscores its significance; valued at USD 41.05 from 2023 to 2030.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

phData

APRIL 20, 2023

Teams can connect data from various sources and access new datasets via the Snowflake Data Marketplace without effort on ETL. As the Snowflake 2022 Partner of the Year , phData has the experience and expertise to help your organization get the most out of your Snowflake investment. The Snowflake platform and the Data Vault 2.0

Data Warehouse 72

Data Warehouse Data Governance Clustering Database 72

phData

FEBRUARY 14, 2023

Matillion Matillion is a complete ETL tool that integrates with an extensive list of pre-built data source connectors, loads data into cloud data environments such as Snowflake, and then performs transformations to make data consumable by analytics tools such as Tableau and PowerBI.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

phData

FEBRUARY 22, 2023

Use Metadata Driven Pipelines When Possible Standardizing ETL/ELT processes can be difficult. As the 2022 Snowflake Partner of the Year , phData thrives at helping businesses of all sizes succeed with Snowflake. phData’s team of experts can help you get started on building a plan to combat a lack of standardization.

SQL 52

SQL Data Quality Database ETL 52

Pickl AI

NOVEMBER 14, 2023

Below are the techniques to carry out data explorations using Python codes: Exploring Data using NumPy Arrays >>> data_array.dtype # Data type of array elements >>> data_array.shape # Array dimensions > len(data_array) # Length of array Exploring Data using Pandas DataFrames >>> df.head() # Return first (..)

Python 52

Python SQL Database Data Analysis 52

phData

JUNE 7, 2023

AI Today ChatGPT was released on November 30, 2022, and has since been coined the fastest-growing app in internet history. This often involves skills in databases, distributed systems, and ETL (Extract, Transform, Load) processes.

AI 59

AI AI Machine Learning Machine Learning 59

phData

FEBRUARY 29, 2024

database permissions, ETL capability, processing, etc.), Have you ever encountered a project that requires you to join and query several tables to feed into a dashboard, but due to various limitations (i.e., it has to be done using custom SQL in Tableau?

Tableau 52

Tableau SQL Database ETL 52